AI-Driven Analytics for Enterprise: Innovations and Case Studies
Discover AI-driven analytics innovations for enterprise-wide insights. Oracle showcases new tools to improve planning, predictions, and agility across finance, supply chain, operations, and HR.
Data Strategy for Improved Project Outcomes in Construction and Engineering
Explore Oracle's data strategy for construction projects, focusing on risk identification, delay prevention, and outcome improvement through comprehensive data utilization and advanced analytics.
Industrial Artificial Intelligence - From Automated Process to Cognitive Analytics
Explore how AI revolutionizes industries through automated processes, cognitive analytics, and predictive maintenance, reshaping manufacturing, supply chains, and decision-making while addressing challenges and opportunities.
A Spurious Outlier Detection System for High Frequency Time Series Data
Discover an integrated approach for detecting spurious outliers in high-frequency time series data from IoT sensors, applicable across various domains like manufacturing, retail, and healthcare.
Loan Portfolio Engines - Challenges and Risk Classification
Explore loan portfolio risk modeling with advanced techniques, including risk classifiers, time-varying factors, and pool-level analysis for optimized decision-making in financial institutions.
Bias in the Vision and Language of Artificial Intelligence
Explore bias in AI vision and language with Margaret Mitchell, focusing on ethical concerns, societal impacts, and strategies for developing more inclusive and fair artificial intelligence systems.
Usama Fayyad at ODSC Boston 2015 - From Big Data to Data Science
Explore the evolution from Big Data to Data Science with Usama Fayyad, focusing on predictive analytics in a changing data landscape and its impact on business growth and competitive advantage.
Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning
Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.
Modeling in the Healthcare Industry - A Collaborative Approach
Explore healthcare predictive analytics with Evariant and DataRobot. Learn about propensity models, evolving solutions, and best practices for targeted marketing in medical campaigns.
Big Data Machine Learning & Data Products with Python and H2O
Explore big data machine learning with Python and H2O in this talk. Learn about H2O's distributed processing, integration with Python ecosystem, and fast production scoring for smart business applications.
Modelling and Predicting Climate Change
Explore innovative methods for monitoring and predicting climate change, from Antarctic sea ice to forest ecosystems, with leading environmental scientists using AI and data science.
Insights from Predictive Policing - Tobias Brandt, Rotterdam School of Management
Explore data-driven decision-support in policing, examining the complex relationship between prediction quality and decision outcomes. Learn about end-to-end frameworks for model selection in smart city operations.
Low-Code Machine Learning on Databricks with AutoML
Discover how to build, train, and deploy ML models using Databricks AutoML and low-code tools, empowering users of all expertise levels to create predictive analytics solutions.
Key Takeaways From the Mobile Game Monetization Report - Unite Now
Insights from Unity's 2019 mobile game monetization data, covering ad revenue growth, IAP performance, and engagement metrics. Includes predictions for 2020 and strategies for better game monetization.
Applied Data Science for Predictive Time Series Analytics - Nesime Tatbul
Explore predictive time series analytics, focusing on anomaly detection and explanation techniques, with insights on evaluation tools and real-world applications in cloud observability.
Using Apache Spark for Predicting Degrading and Failing Parts in Aviation
Leveraging Apache Spark for predictive maintenance in aviation, enabling efficient data processing, anomaly detection, and component health scoring to improve fleet readiness and prevent failures.
Financial Analytics with Python - Financial Data Analysis Using Python
Learn to apply Python for financial risk modeling, including market and credit risk analysis, fraud detection, and predictive analytics in banking and financial institutions.
Classification Algorithm Tutorial - Machine Learning Tutorial
Comprehensive tutorial on classification algorithms in machine learning, covering techniques for categorizing new observations based on training data. Explores supervised learning methods and practical applications.
Build a Hyperconnected Business with Microsoft Cloud
Discover how to build a digital foundation with Microsoft Cloud for agile business operations, harnessing data to predict and respond to rapid changes in the modern world.
Mathematical Models for Predicting the Future - Limitations and Ethics
Explore the power and limitations of mathematical models in predicting future events, from pandemics to climate change, with insights on their ethical implications and real-world applications.
Sensing the Whole - Big Data, Big Indicators and the Future of Planetary Health
Explore emerging tools like satellite imagery and analytics that reveal complex relationships between people and the planet, enabling new approaches to planetary health and social wellbeing.